Teknium b9463e32c6 fix(usage): read top-level Anthropic cache fields from OAI-compatible proxies ...

Port from cline/cline#10266.

When OpenAI-compatible proxies (OpenRouter, Vercel AI Gateway, Cline)
route Claude models, they sometimes surface the Anthropic-native cache
counters (`cache_read_input_tokens`, `cache_creation_input_tokens`) at
the top level of the `usage` object instead of nesting them inside
`prompt_tokens_details`. Our chat-completions branch of
`normalize_usage()` only read the nested `prompt_tokens_details` fields,
so those responses:

- reported `cache_write_tokens = 0` even when the model actually did a
  prompt-cache write,
- reported only some of the cache-read tokens when the proxy exposed them
  top-level only,
- overstated `input_tokens` by the missed cache-write amount, which in
  turn made cost estimation and the status-bar cache-hit percentage wrong
  for Claude traffic going through these gateways.

Now the chat-completions branch tries the OpenAI-standard
`prompt_tokens_details` first and falls back to the top-level
Anthropic-shape fields only if the nested values are absent/zero. The
Anthropic and Codex Responses branches are unchanged.

Regression guards added for three shapes: top-level write + nested read,
top-level-only, and both-present (nested wins).

2026-04-22 17:40:49 -07:00

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